According to a study by the Keck School of Medicine at the University of Southern California (USC), minority populations in the United States with autoimmune diseases, including multiple sclerosis...
As the COVID-19 pandemic continues to spread worldwide, hospitals are searching for ways to keep their patients safe from potential hospital-acquired infections. Different methods have included hygiene...
To better understand ventricular arrhythmias, Johns Hopkins University researchers are studying the use of whole-heart computational models. Whole-heart computational modeling can lead to personalized...
A recent study by Kaiser Permanente demonstrated the value of natural language processing (NLP) technology with clinicians identifying more than 50,000 patients with aortic stenosis, a common heart...
Cleveland Clinic researchers collaborated with Owkin to develop and validate a deep learning model to predict survival and outcomes for hepatocellular carcinoma (HCC) patients after liver...
As providers strive to improve patient outcomes, the use of machine learning has become more integrated into the healthcare system. As this new form of technology continues to expand, it’s...
Artificial intelligence (AI) is making a dent in healthcare in the US and around the globe, helping leaders in Europe, South America, and Asia improve outcomes and cut costs, dissolving key pain points...
Nagourney Cancer Institute researchers in collaboration with the Federal University of Sao Paulo, Brazil, University of California, Irvine, and Todd Cancer Institute discovered metabolic signatures in...
At Monroe Carell Jr. Children’s Hospital at Vanderbilt University Medical Center, a group of physicians has identified older age, chronic conditions, and comorbidities as risk factors for severe...
As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research.
These social factors, which impact...
Data analytics serves as an essential tool when trying to close gaps in care. By studying data, providers can determine what steps need to be taken to improve patient outcomes.
Assistant Vice...
The University of Tennessee Health Science Center (UTHSC) recently launched the Tennessee Population Health Consortium, a statewide initiative dedicated to improving health outcomes and equity across...
In a recent opinion piece published in JAMA Network, experts explored the use of precision medicine in treating COVID-19 and identified a potential pathway for defining COVID-19 subtypes. The authors...
Artificial intelligence software and a brain-computer interface (BCI) device have enabled a man with full-body paralysis to communicate by text at a rate of 18 words per minute,...
Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients.
The algorithm was more...
Researchers from Michigan Medicine have developed a predictive analytics tool that can help identify pulmonary arterial hypertension, a condition that causes blocked or destroyed blood vessels in the...
Limited diversity in genomic datasets may affect therapy selection and cancer outcomes for black patients, a study published in npj Precision Oncology revealed.
Researchers noted that clinicians use...
Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive...
Fourteen leading healthcare providers are partnering to form Truveta, a new company that will leverage big data analytics for enhanced care insights.
Providers involved in the effort include...
A gene variant found in approximately one in 300 people is a significant genetic risk factor for stroke in older adults, according to a study conducted by researchers at Geisinger.
Cerebral small...
